
Senior Principal Data Scientist, Vice President
- Hangzhou, Zhejiang
- Permanent
- Full-time
- Lead a small agile team to deliver highly effective AI solution to meet our fast-changing business and client needs, collaborate with global teams to execute on global projects and keep improving model solution and AI best practices.
- Adopt various modern AI tools to design and develop AI solution and disrupt traditional AI development approach and improve overall productivity by 30%.
- Develop, train, and manage multiple data scientists, ensure their continuous growth and development, and foster a high-performance team culture.
- Become subject matter expert in modern AI tools, foundational AI model design, development, and validation by converting financial data and models to mathematical and computer science level design and implementation.
- Integrate, customize, and train known AI model and algorithm in open-source libraries to solve financial problem, perform validation, and fix bugs.
- Drive model rationalization, reusability, scalability, and implement modern MLOps.
- Write model specification about problem statement, assumption, data input, methodology, implementation framework, and test result; work with external Model Validation group and implement required changes for go-live.
- Support IT integration, QA/UAT and deployment of AI micro services, operationalizing and productizing resulting models and AI solutions.
- Support production issue pertinent to model and algorithm including the ones used in open-source libraries if any.
- Master’s degree required (preferably in computer science, financial mathematics, and financial engineering), PhD preferred.
- 12+ years of hands-on coding experience with foundational AI algorithms and familiar with deep learning neural network like various supervise and unsupervised models and familiar with natural language processing and computer vision algorithms.
- 12+ years of modern, object-oriented or functional programming and design experience (Python, Java) and proficient in AI code generation tools like GitHub Co-pilot/Cursor.
- Proficient in public cloud development environment and could native products such as Azure ML, Azure AI Foundry, Snowflake, Databricks Mosaic, or AWS Bedrock/Sagemaker.
- Familiar with major financial instrument, reference data, market data, investment and risk management concept.
- Fluent with English and Mandarin; Excellent written and verbal communication skills at all stakeholder levels across multiple countries.
- Result driven, detail oriented, candid attitude.
- Prior data scientist role in financial institution or model validation experience.
- Prior risk and investment management experience in asset management industry.
- Structured and unstructured data management tools (Snowflake, Databricks, PGVector, PostgreSQL, Hadoop, etc.).
- Charted Financial Analyst (CFA) or equivalent.